code: def testConvertTensors(self):
      with tf.compat.v1.Graph().as_default():
          a = tf.compat.v1.placeholder(tf.int32, [None])
          protomap = _make_signature({"a": a}, {}).inputs
          targets = tensor_info.parse_tensor_info_map(protomap)
  
          # convert constant
          in0 = [1, 2, 3]
          output = tensor_info.convert_dict_to_compatible_tensor(
              {"a": in0}, targets
          )
          self.assertEqual(output["a"].dtype, a.dtype)
  
          # check sparsity
          in1 = tf.compat.v1.sparse_placeholder(tf.int32, [])
          with self.assertRaisesRegexp(
              TypeError, "Got SparseTensor. Expected Tensor."
          ):
              tensor_info.convert_dict_to_compatible_tensor(
                  {"a": in1}, targets
              )
  
file_path: hub/tensorflow_hub/tensor_info_test.py
imports: import tensorflow
  from tensorflow_hub import tensor_info
label_desc: Use image node_id 6 for calling the TensorInfoTest obj's underlying member method code with example usage: obj.testConvertTensors() without return types